π¦ Gorilla: Large Language Model Connected with Massive APIs
Gorilla a finetuned LLaMA-based model that surpasses the performance of GPT-4 on writing API calls.
π₯ Github: https://github.com/ShishirPatil/gorilla
π Paper: https://arxiv.org/abs/2305.15334
π Demo: https://drive.google.com/file/d/1E0k5mG1mTiaz0kukyK1PdeohJipTFh6j/view?usp=share_link
π Project: https://shishirpatil.github.io/gorilla/
βοΈ Colab: https://colab.research.google.com/drive/1DEBPsccVLF_aUnmD0FwPeHFrtdC0QIUP?usp=sharing
https://t.iss.one/DataScienceT
Gorilla a finetuned LLaMA-based model that surpasses the performance of GPT-4 on writing API calls.
π₯ Github: https://github.com/ShishirPatil/gorilla
π Paper: https://arxiv.org/abs/2305.15334
π Demo: https://drive.google.com/file/d/1E0k5mG1mTiaz0kukyK1PdeohJipTFh6j/view?usp=share_link
π Project: https://shishirpatil.github.io/gorilla/
βοΈ Colab: https://colab.research.google.com/drive/1DEBPsccVLF_aUnmD0FwPeHFrtdC0QIUP?usp=sharing
https://t.iss.one/DataScienceT
π3β€βπ₯2π1
Segment Anything 3D
SAM-3D: A toolbox transfers 2D SAM segments into 3D scene-level point clouds.
π₯ Github: https://github.com/pointcept/segmentanything3d
β© Paper: https://arxiv.org/abs/2306.03908v1
π Dataset: https://paperswithcode.com/dataset/scannet
https://t.iss.one/DataScienceT
SAM-3D: A toolbox transfers 2D SAM segments into 3D scene-level point clouds.
π₯ Github: https://github.com/pointcept/segmentanything3d
β© Paper: https://arxiv.org/abs/2306.03908v1
π Dataset: https://paperswithcode.com/dataset/scannet
https://t.iss.one/DataScienceT
β€βπ₯2π1
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πΌ PandaLM: ReProducible and Automated Language Model Assessment
Judge large language model, named PandaLM, which is trained to distinguish the superior model given several LLMs. PandaLM's focus extends beyond just the objective correctness of responses, which is the main focus of traditional evaluation datasets.
π₯ Github: https://github.com/weopenml/pandalm
π Paper: https://arxiv.org/abs/2306.05087v1
π Dataset: https://github.com/tatsu-lab/stanford_alpaca#data-release
https://t.iss.one/DataScienceT
Judge large language model, named PandaLM, which is trained to distinguish the superior model given several LLMs. PandaLM's focus extends beyond just the objective correctness of responses, which is the main focus of traditional evaluation datasets.
π₯ Github: https://github.com/weopenml/pandalm
π Paper: https://arxiv.org/abs/2306.05087v1
π Dataset: https://github.com/tatsu-lab/stanford_alpaca#data-release
https://t.iss.one/DataScienceT
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πΉ Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
LLaMA is working on empowering large language models with video and audio understanding capability.
π₯ Github: https://github.com/damo-nlp-sg/video-llama
π Paper: https://arxiv.org/abs/2306.02858
β© Demo: https://huggingface.co/spaces/DAMO-NLP-SG/Video-LLaMA
π Model: https://modelscope.cn/studios/damo/video-llama/summary
https://t.iss.one/DataScienceT
LLaMA is working on empowering large language models with video and audio understanding capability.
π₯ Github: https://github.com/damo-nlp-sg/video-llama
π Paper: https://arxiv.org/abs/2306.02858
β© Demo: https://huggingface.co/spaces/DAMO-NLP-SG/Video-LLaMA
π Model: https://modelscope.cn/studios/damo/video-llama/summary
https://t.iss.one/DataScienceT
β€βπ₯3π3π1
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ποΈ Large Language Model for Geoscience
We introduce K2 (7B), an open-source language model trained by firstly further pretraining LLaMA on collected and cleaned geoscience literature, including geoscience open-access papers and Wikipedia pages, and secondly fine-tuning with knowledge-intensive instruction tuning data (GeoSignal).
π₯ Github: https://github.com/davendw49/k2
βοΈ Demo: https://huggingface.co/daven3/k2_fp_delta
π Paper: https://arxiv.org/abs/2306.05064v1
π Dataset: https://huggingface.co/datasets/daven3/geosignal
https://t.iss.one/DataScienceT
We introduce K2 (7B), an open-source language model trained by firstly further pretraining LLaMA on collected and cleaned geoscience literature, including geoscience open-access papers and Wikipedia pages, and secondly fine-tuning with knowledge-intensive instruction tuning data (GeoSignal).
git clone https://github.com/davendw49/k2.git
cd k2
conda env create -f k2.yml
conda activate k2
π₯ Github: https://github.com/davendw49/k2
βοΈ Demo: https://huggingface.co/daven3/k2_fp_delta
π Paper: https://arxiv.org/abs/2306.05064v1
π Dataset: https://huggingface.co/datasets/daven3/geosignal
https://t.iss.one/DataScienceT
β€βπ₯4π2
π² FinGPT: Open-Source Financial Large Language Models
Unlike proprietary models, FinGPT takes a data-centric approach, providing researchers and practitioners with accessible and transparent resources to develop their FinLLMs.
π₯ Github: https://github.com/ai4finance-foundation/fingpt
βοΈ FinNLP: https://github.com/ai4finance-foundation/finnlp
π Paper: https://arxiv.org/abs/2306.06031v1
π Project: https://ai4finance-foundation.github.io/FinNLP/
https://t.iss.one/DataScienceT
Unlike proprietary models, FinGPT takes a data-centric approach, providing researchers and practitioners with accessible and transparent resources to develop their FinLLMs.
π₯ Github: https://github.com/ai4finance-foundation/fingpt
βοΈ FinNLP: https://github.com/ai4finance-foundation/finnlp
π Paper: https://arxiv.org/abs/2306.06031v1
π Project: https://ai4finance-foundation.github.io/FinNLP/
https://t.iss.one/DataScienceT
β€βπ₯4π4β€1
You can now download and watch all paid data science courses for free by subscribing to our new channel
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GP-UNIT - Official PyTorch Implementation
π₯ Github: https://github.com/williamyang1991/gp-unit
β© Paper: https://arxiv.org/pdf/2306.04636v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/celeba-hq
https://t.iss.one/DataScienceT
π₯ Github: https://github.com/williamyang1991/gp-unit
β© Paper: https://arxiv.org/pdf/2306.04636v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/celeba-hq
https://t.iss.one/DataScienceT
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π§ 4DHumans: Reconstructing and Tracking Humans with Transformers
Fully "transformerized" version of a network for human mesh recovery.
π₯ Github: https://github.com/shubham-goel/4D-Humans
βοΈ Colab: https://colab.research.google.com/drive/1Ex4gE5v1bPR3evfhtG7sDHxQGsWwNwby?usp=sharing
π Paper: https://arxiv.org/pdf/2305.20091.pdf
π Project: https://shubham-goel.github.io/4dhumans/
https://t.iss.one/DataScienceT
Fully "transformerized" version of a network for human mesh recovery.
π₯ Github: https://github.com/shubham-goel/4D-Humans
βοΈ Colab: https://colab.research.google.com/drive/1Ex4gE5v1bPR3evfhtG7sDHxQGsWwNwby?usp=sharing
π Paper: https://arxiv.org/pdf/2305.20091.pdf
π Project: https://shubham-goel.github.io/4dhumans/
https://t.iss.one/DataScienceT
β€βπ₯2
π₯ Scalable Diffusion Models with Transformers (DiT)
π₯ Github: https://github.com/facebookresearch/DiT
π₯ Colab: https://colab.research.google.com/github/facebookresearch/DiT/blob/main/run_DiT.ipynb
βοΈ Project: https://www.wpeebles.com/DiT
β© Paprer: https://arxiv.org/abs/2212.09748
βοΈ Dataset: https://paperswithcode.com/dataset/imagenet
https://t.iss.one/DataScienceT
git clone https://github.com/facebookresearch/DiT.git
π₯ Github: https://github.com/facebookresearch/DiT
π₯ Colab: https://colab.research.google.com/github/facebookresearch/DiT/blob/main/run_DiT.ipynb
βοΈ Project: https://www.wpeebles.com/DiT
β© Paprer: https://arxiv.org/abs/2212.09748
βοΈ Dataset: https://paperswithcode.com/dataset/imagenet
https://t.iss.one/DataScienceT
β€βπ₯3π1
A channel for educational Python courses
All courses here are free and available to everyone
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All courses here are free and available to everyone
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Python Courses
A channel for educational Python courses
All courses here are free and available to everyone
Admin: @hussein_sheikho
All courses here are free and available to everyone
Admin: @hussein_sheikho
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β‘ 21 Must-Have Cheat Sheets for Data Science Interviews: Unlocking Your Path to Success
βͺSQL
1. SQL Basics Cheat Sheet
2. The Essential SQL Commands Cheat Sheet for Beginners
3. SQL Cheat Sheet β Technical Concepts for the Job Interview
βͺPython
4. Python Cheat Sheet
5. Python Cheat Sheet
6. Comprehensive Python Cheatsheet
βͺR
7. RStudio Cheatsheets
βͺData Structures
8. Data Structures Reference
9. An Executable Data Structures Cheat Sheet for Interviews
βͺData Manipulation
10. Pandas Cheat Sheet for Data Science
11. Pandas Cheat Sheet
12. Data Wrangling With pandas Cheat Sheet
βͺData Visualization
13. Data Visualization Cheat Sheet
14. Data Visualization Cheat Sheet
15. Data Visualization Cheat Sheets
βͺStatistics & Probability
16. A Comprehensive Statistics Cheat Sheet for Data Science Interviews
17. The Most Comprehensive Stats Cheat Sheet
18. Statistics Cheat Sheet
βͺAlgorithms & Models
19. Top Prediction Algorithms
20. Your Ultimate Data Science Statistics & Mathematics Cheat Sheet
21. Cheat Sheet for Machine Learning Models
https://t.iss.one/DataScienceT
βͺSQL
1. SQL Basics Cheat Sheet
2. The Essential SQL Commands Cheat Sheet for Beginners
3. SQL Cheat Sheet β Technical Concepts for the Job Interview
βͺPython
4. Python Cheat Sheet
5. Python Cheat Sheet
6. Comprehensive Python Cheatsheet
βͺR
7. RStudio Cheatsheets
βͺData Structures
8. Data Structures Reference
9. An Executable Data Structures Cheat Sheet for Interviews
βͺData Manipulation
10. Pandas Cheat Sheet for Data Science
11. Pandas Cheat Sheet
12. Data Wrangling With pandas Cheat Sheet
βͺData Visualization
13. Data Visualization Cheat Sheet
14. Data Visualization Cheat Sheet
15. Data Visualization Cheat Sheets
βͺStatistics & Probability
16. A Comprehensive Statistics Cheat Sheet for Data Science Interviews
17. The Most Comprehensive Stats Cheat Sheet
18. Statistics Cheat Sheet
βͺAlgorithms & Models
19. Top Prediction Algorithms
20. Your Ultimate Data Science Statistics & Mathematics Cheat Sheet
21. Cheat Sheet for Machine Learning Models
https://t.iss.one/DataScienceT
π9β€βπ₯4β€2
Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement
at 100k Steps-Per-Second
π₯ Github: https://github.com/facebookresearch/galactic
β© Paper: https://arxiv.org/pdf/2306.07552v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/vizdoom
https://t.iss.one/DataScienceT
at 100k Steps-Per-Second
π₯ Github: https://github.com/facebookresearch/galactic
β© Paper: https://arxiv.org/pdf/2306.07552v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/vizdoom
https://t.iss.one/DataScienceT
β€βπ₯4β€1
Macaw-LLM: Multi-Modal Language Modeling with Image, Audio, Video, and Text Integration
Macaw-LLM is a model of its kind, bringing together state-of-the-art models for processing visual, auditory, and textual information, namely CLIP, Whisper, and LLaMA.
π₯ Github: https://github.com/lyuchenyang/macaw-llm
βοΈ Model: https://tinyurl.com/yem9m4nf
π Paper: https://tinyurl.com/4rsexudv
π Dataset: https://github.com/lyuchenyang/Macaw-LLM/blob/main/data
https://t.iss.one/DataScienceT
Macaw-LLM is a model of its kind, bringing together state-of-the-art models for processing visual, auditory, and textual information, namely CLIP, Whisper, and LLaMA.
π₯ Github: https://github.com/lyuchenyang/macaw-llm
βοΈ Model: https://tinyurl.com/yem9m4nf
π Paper: https://tinyurl.com/4rsexudv
π Dataset: https://github.com/lyuchenyang/Macaw-LLM/blob/main/data
https://t.iss.one/DataScienceT
π4β€2β€βπ₯1