Проекты машинного обучения

Revisiting the Minimalist Approach to Offline Reinforcement Learning

🖥https://github.com/corl-team/CORL

GitHub - corl-team/CORL: High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC…

High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC - corl-team/CORL

20 views16:43

Проекты машинного обучения

Neuralangelo: High-Fidelity Neural Surface Reconstruction

🖥https://github.com/NVlabs/neuralangelo

GitHub

GitHub - NVlabs/neuralangelo: Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023)

Official implementation of "Neuralangelo: High-Fidelity Neural Surface Reconstruction" (CVPR 2023) - NVlabs/neuralangelo

25 views10:51

Проекты машинного обучения

FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization

🖥https://github.com/apple/ml-fastvit

GitHub

GitHub - apple/ml-fastvit: This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid…

This repository contains the official implementation of the research paper, "FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization" ICCV 2023 - apple/ml-fastvit

22 views13:51

Проекты машинного обучения

Efficient Guided Generation for Large Language Models

🖥https://github.com/normal-computing/outlines

GitHub

GitHub - dottxt-ai/outlines: Structured Text Generation

Structured Text Generation. Contribute to dottxt-ai/outlines development by creating an account on GitHub.

22 views09:51

Проекты машинного обучения

Generative Agents: Interactive Simulacra of Human Behavior

🖥https://github.com/joonspk-research/generative_agents

GitHub

GitHub - joonspk-research/generative_agents: Generative Agents: Interactive Simulacra of Human Behavior

Generative Agents: Interactive Simulacra of Human Behavior - joonspk-research/generative_agents

20 views09:52

Проекты машинного обучения

OctoPack: Instruction Tuning Code Large Language Models

🖥https://github.com/bigcode-project/octopack

GitHub

GitHub - bigcode-project/octopack: 🐙 OctoPack: Instruction Tuning Code Large Language Models

🐙 OctoPack: Instruction Tuning Code Large Language Models - bigcode-project/octopack

19 views09:52

Проекты машинного обучения

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

🖥https://github.com/adbar/trafilatura

GitHub

GitHub - adbar/trafilatura: Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction,…

Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML - adbar/trafilatura

19 views09:52

Проекты машинного обучения

StableVideo: Text-driven Consistency-aware Diffusion Video Editing

📝https://github.com/rese1f/stablevideo

GitHub

GitHub - rese1f/StableVideo: [ICCV 2023] StableVideo: Text-driven Consistency-aware Diffusion Video Editing

[ICCV 2023] StableVideo: Text-driven Consistency-aware Diffusion Video Editing - GitHub - rese1f/StableVideo: [ICCV 2023] StableVideo: Text-driven Consistency-aware Diffusion Video Editing

18 views07:17

Проекты машинного обучения

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

📝https://github.com/spcl/graph-of-thoughts

GitHub

GitHub - spcl/graph-of-thoughts: Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language…

Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models" - spcl/graph-of-thoughts

17 views11:18

Проекты машинного обучения

SeamlessM4T-Massively Multilingual & Multimodal Machine Translation

📝https://github.com/facebookresearch/seamless_communication

GitHub

GitHub - facebookresearch/seamless_communication: Foundational Models for State-of-the-Art Speech and Text Translation

Foundational Models for State-of-the-Art Speech and Text Translation - facebookresearch/seamless_communication

15 views07:11

Проекты машинного обучения

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

📝https://github.com/PJLab-ADG/neuralsim/blob/main/docs/methods/neus_in_minutes.md

GitHub

neuralsim/docs/methods/neus_in_minutes.md at main · PJLab-ADG/neuralsim

neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering. - PJLab-ADG/neuralsim

18 views13:12

Проекты машинного обучения

StreetSurf: Extending Multi-view Implicit Surface Reconstruction to Street Views

📝https://github.com/pjlab-ADG/neuralsim

GitHub

GitHub - PJLab-ADG/neuralsim: neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.

neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering. - GitHub - PJLab-ADG/neuralsim: neuralsim: 3D surface reconstruction and simulation based on 3D neural rendering.

21 views07:12

Проекты машинного обучения

IT3D: Improved Text-to-3D Generation with Explicit View Synthesis

📝https://github.com/buaacyw/it3d-text-to-3d

GitHub

GitHub - buaacyw/IT3D-text-to-3D: [AAAI'2024] IT3D: Improved Text-to-3D Generation with Explicit View Synthesis

[AAAI'2024] IT3D: Improved Text-to-3D Generation with Explicit View Synthesis - GitHub - buaacyw/IT3D-text-to-3D: [AAAI'2024] IT3D: Improved Text-to-3D Generation with Explicit View Synthesis

17 views07:12

Проекты машинного обучения

Code Llama: Open Foundation Models for Code

📝https://github.com/facebookresearch/codellama

GitHub

GitHub - meta-llama/codellama: Inference code for CodeLlama models

Inference code for CodeLlama models. Contribute to meta-llama/codellama development by creating an account on GitHub.

21 views07:01

Проекты машинного обучения

Prompt2Model: Generating Deployable Models from Natural Language Instructions

📝https://github.com/neulab/prompt2model

GitHub

GitHub - neulab/prompt2model: prompt2model - Generate Deployable Models from Natural Language Instructions

prompt2model - Generate Deployable Models from Natural Language Instructions - neulab/prompt2model

23 views08:30

Проекты машинного обучения

Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities

📝https://github.com/qwenlm/qwen-vl

GitHub

GitHub - QwenLM/Qwen-VL: The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba…

The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud. - QwenLM/Qwen-VL

22 views07:01

Проекты машинного обучения

Giraffe: Adventures in Expanding Context Lengths in LLMs

📝https://github.com/abacusai/long-context

GitHub

GitHub - abacusai/Long-Context: This repository contains code and tooling for the Abacus.AI LLM Context Expansion project. Also…

This repository contains code and tooling for the Abacus.AI LLM Context Expansion project. Also included are evaluation scripts and benchmark tasks that evaluate a model’s information retrieval cap...

22 views11:51

Проекты машинного обучения

Dense Text-to-Image Generation with Attention Modulation

📝https://github.com/naver-ai/densediffusion

GitHub

GitHub - naver-ai/DenseDiffusion: Official Pytorch Implementation of DenseDiffusion (ICCV 2023)

Official Pytorch Implementation of DenseDiffusion (ICCV 2023) - GitHub - naver-ai/DenseDiffusion: Official Pytorch Implementation of DenseDiffusion (ICCV 2023)

20 views07:02

Проекты машинного обучения

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

📝https://github.com/opengvlab/omniquant

GitHub

GitHub - OpenGVLab/OmniQuant: [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.

[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs. - GitHub - OpenGVLab/OmniQuant: [ICLR2024 spotlight] OmniQuant is a simple and powerful quantization techni...

22 views06:00

Проекты машинного обучения

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

📝https://github.com/Shilin-LU/TF-ICON

GitHub

GitHub - Shilin-LU/TF-ICON: [ICCV 2023] "TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition" (Official Implementation)

[ICCV 2023] "TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition" (Official Implementation) - Shilin-LU/TF-ICON

23 views07:36

Проекты машинного обучения

Nougat: Neural Optical Understanding for Academic Documents

📝https://github.com/facebookresearch/nougat

GitHub

GitHub - facebookresearch/nougat: Implementation of Nougat Neural Optical Understanding for Academic Documents

Implementation of Nougat Neural Optical Understanding for Academic Documents - facebookresearch/nougat

24 views09:05

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