bala-git9

bala-git9's Stars

• skorch-dev/skorch

  A scikit-learn compatible neural network library that wraps PyTorch

  Language:Jupyter Notebook5.8k388

• google-research/circuit_training

  Language:Python965158

• Brainchip-Inc/aTENNuate

  Language:Python242

• Lightning-AI/lightning-thunder

  Make PyTorch models up to 40% faster! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once; across one or thousands of GPUs.

  Language:Python1.1k77

• unslothai/unsloth

  Finetune Llama 3.1, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

  Language:Python16.2k1.1k

• Dao-AILab/flash-attention

  Fast and memory-efficient exact attention

  Language:Python13.6k1.2k

• exo-explore/exo

  Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚

  Language:Python7.7k404

• apify/crawlee

  Crawlee—A web scraping and browser automation library for Node.js to build reliable crawlers. In JavaScript and TypeScript. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with Puppeteer, Playwright, Cheerio, JSDOM, and raw HTTP. Both headful and headless mode. With proxy rotation.

  Language:TypeScript15.2k638

• google/mesop

  Rapidly build AI apps in Python

  Language:Python5.3k258

• Blealtan/efficient-kan

  An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

  Language:Python3.9k348

• microsoft/generative-ai-for-beginners

  18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

  Language:Jupyter Notebook62.2k31.8k

• rushter/MLAlgorithms

  Minimal and clean examples of machine learning algorithms implementations

  Language:Python10.7k1.8k

• ContinualAI/continual-learning-papers

  Continual Learning papers list, curated by ContinualAI

  Language:HTML55251

• daytonaio/daytona

  The Open Source Dev Environment Manager.

  Language:Go8.4k778

• astral-sh/uv

  An extremely fast Python package and project manager, written in Rust.

  Language:Rust21.4k627

• lava-nc/lava

  A Software Framework for Neuromorphic Computing

  Language:Jupyter Notebook554143

• chaht01/Co2L

  Co^2L: Contrastive Continual Learning (ICCV2021)

  Language:Python9018

• SpikingChen/SNN-Daily-Arxiv

  Update arXiv papers about Spiking Neural Networks daily.

  Language:Python26624

• neuromorphs/NIR

  Neuromorphic Intermediate Representation reference implementation

  Language:Jupyter Notebook7210

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook37.6k4k

• zhuyaoyu/SNN-event-driven-learning

  An event-driven learning algorithm for spiking neural networks

  Language:Python223

• BlackHC/toma

  Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory

  Language:Python42010

• XuehaiPan/nvitop

  An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

  Language:Python4.7k146

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python185k44.4k

• ShishirPatil/gorilla

  Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

  Language:Python11.3k947

• assafelovic/gpt-researcher

  LLM based autonomous agent that does online comprehensive research on any given topic

  Language:Python14.2k1.9k

• microsoft/LoRA

  Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

  Language:Python10.4k668

• iCGY96/syops-counter

  SyOPs counter for spiking neural networks

  Language:Python477

• Lyken17/pytorch-OpCounter

  Count the MACs / FLOPs of your PyTorch model.

  Language:Python4.8k528

• G-U-N/PyCIL

  PyCIL: A Python Toolbox for Class-Incremental Learning

  Language:Python783136