Title: #Python Scrape #weather update from #Google search.
كود #بايثون لعرض #درجة_الحرارة بحسب المدينة او البلد اعتمادا على ميزة البحث ل #غوغل مرفقا بالشرح ضمن الكود.
للمزيد قم بدعوة اصدقاءك للاستفادة : @CodeProgrammer
كود #بايثون لعرض #درجة_الحرارة بحسب المدينة او البلد اعتمادا على ميزة البحث ل #غوغل مرفقا بالشرح ضمن الكود.
للمزيد قم بدعوة اصدقاءك للاستفادة : @CodeProgrammer
Title: Make your own #GUI Translator using #Python
#مشروع_برمجي لانشاء تطبيق شبيه بتطبيق #Google_Translator او كما يعرف ب #مترجم_غوغل باستخدام #tkinter حيث يتيح لك هذا المشروع #الترجمة من والى اي لغة تختارها بالاضافة للكشف الالي عن اللغة المدخلة.
#ملاحظة: يعتبر هذا المشروع من احد المشاريع الذي ينصح بها للمبتدئين لاكتساب الخبرة.
للمزيد قم بدعوة اصدقاءك للاستفادة: @CodeProgrammer
مجموعة القناة:
@PythonArab
#مشروع_برمجي لانشاء تطبيق شبيه بتطبيق #Google_Translator او كما يعرف ب #مترجم_غوغل باستخدام #tkinter حيث يتيح لك هذا المشروع #الترجمة من والى اي لغة تختارها بالاضافة للكشف الالي عن اللغة المدخلة.
#ملاحظة: يعتبر هذا المشروع من احد المشاريع الذي ينصح بها للمبتدئين لاكتساب الخبرة.
للمزيد قم بدعوة اصدقاءك للاستفادة: @CodeProgrammer
مجموعة القناة:
@PythonArab
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ML Engineer, LLM Engineer, take note: TorchCode
A platform with practice tasks for basic implementations in PyTorch and questions on Transformer, which are often encountered in interviews.
→ Gathers in 39 structured tasks typical for #ML #interviews - implementations of operators, modules, and architectures in #PyTorch.
→ Provides auto-checking, gradient checking, time measurement, and instant feedback, so that the practice more closely resembles #LeetCode for interviews.
→ Built on the basis of Jupyter Notebook, while supporting one-click reset, hints, reference solutions, and progress tracking.
→ Covers such frequent topics as ReLU, Softmax, LayerNorm, Attention, RoPE, Flash Attention, #LoRA, $MoE, and others.
→ Supports online mode via Hugging Face Spaces, opening individual tasks in #Google #Colab, and local launch via #Docker.
👉 https://github.com/duoan/TorchCode
A platform with practice tasks for basic implementations in PyTorch and questions on Transformer, which are often encountered in interviews.
→ Gathers in 39 structured tasks typical for #ML #interviews - implementations of operators, modules, and architectures in #PyTorch.
→ Provides auto-checking, gradient checking, time measurement, and instant feedback, so that the practice more closely resembles #LeetCode for interviews.
→ Built on the basis of Jupyter Notebook, while supporting one-click reset, hints, reference solutions, and progress tracking.
→ Covers such frequent topics as ReLU, Softmax, LayerNorm, Attention, RoPE, Flash Attention, #LoRA, $MoE, and others.
→ Supports online mode via Hugging Face Spaces, opening individual tasks in #Google #Colab, and local launch via #Docker.
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GitHub
GitHub - duoan/TorchCode: 🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant…
🔥 LeetCode for PyTorch — practice implementing softmax, attention, GPT-2 and more from scratch with instant auto-grading. Jupyter-based, self-hosted or try online. - duoan/TorchCode
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