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All Algorithms implemented in Python
Curated coding interview preparation materials for busy software engineers
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
List of Computer Science courses with video lectures.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
Simple, fast, safe, compiled language for developing maintainable software. Compiles itself in <1s with zero library dependencies. Supports automatic C => V translation. https://vlang.io
Google Research
We write your reusable computer vision tools. 💜
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
You like pytorch? You like micrograd? You love tinygrad! ❤️
DSPy: The framework for programming—not prompting—language models
A playbook for systematically maximizing the performance of deep learning models.
Open-Sora: Democratizing Efficient Video Production for All
Productive, portable, and performant GPU programming in Python.
A generative world for general-purpose robotics & embodied AI learning.
Python sample codes and textbook for robotics algorithms.
📄 Awesome CV is LaTeX template for your outstanding job application
Fully open reproduction of DeepSeek-R1
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch