saahithjanapati

saahithjanapati's Stars

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.4k4581325.9k

• black-forest-labs/flux

  Official inference repo for FLUX.1 models

  Language:Python18.6k15901.3k

• tensorflow/tensor2tensor

  Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

  Language:Python15.7k4691.2k3.5k

• naklecha/llama3-from-scratch

  llama3 implementation one matrix multiplication at a time

  Language:Jupyter Notebook13.9k98181.1k

• princeton-nlp/SWE-agent

  [NeurIPS 2024] SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges.

  Language:Python13.8k973871.4k

• gpu-mode/lectures

  Material for gpu-mode lectures

  Language:Jupyter Notebook3.3k499334

• mpoon/gpt-repository-loader

  Convert code repos into an LLM prompt-friendly format. Mostly built by GPT-4.

  Language:Python2.9k3424230

• johnma2006/mamba-minimal

  Simple, minimal implementation of the Mamba SSM in one file of PyTorch.

  Language:Python2.7k2428194

• lucidrains/perceiver-pytorch

  Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

  Language:Python1.1k3159134

• rohitgandikota/sliders

  Concept Sliders for Precise Control of Diffusion Models

  Language:Jupyter Notebook9861311579

• pmichel31415/are-16-heads-really-better-than-1

  Code for the paper "Are Sixteen Heads Really Better than One?"

  Language:Shell17051114

• rafaljozefowicz/lm

  Language:Python16521757

• lancopku/label-words-are-anchors

  Repository for Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

  Language:Python15822813

• openai/neural-gpu

  Code for the Neural GPU model originally described in "Neural GPUs Learn Algorithms"

  Language:Python138167268

• saprmarks/feature-circuits

  Language:Python1184523

• jakegrigsby/deep_control

  Deep Reinforcement Learning for Continuous Control in PyTorch

  Language:Python936114

• ansuini/IntrinsicDimDeep

  Code for the intrinsic dimensionality estimate of data representations

  Language:Jupyter Notebook774411

• jbloomAus/DecisionTransformerInterpretability

  Interpreting how transformers simulate agents performing RL tasks

  Language:Jupyter Notebook7647418

• jxmorris12/gptzip

  Losslessly encode text natively with arithmetic coding and HuggingFace Transformers

  Language:Python71116

• bacnguyencong/rbm-pytorch

  An implementation of Restricted Boltzmann Machine in Pytorch

  Language:Jupyter Notebook504012

• evandez/relations

  How do transformer LMs encode relations?

  Language:Jupyter Notebook404411

• csinva/interpretable-embeddings

  Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)

  Language:Python31401

• dannyallover/overthinking_the_truth

  Language:Jupyter Notebook28115

• for-ai/llm-profiling-toolkit

  Language:Python140

• ArthurConmy/MishformerLens

  MishformerLens intends to be a drop-in replacement for TransformerLens that AST patches HuggingFace Transformers rather than implementing a custom, numerically inaccurate Transformer architecture.

  Language:Python10200

• rohitgandikota/erasing-llm

  Erasing conceptual knowledge from language models through low-rank fine-tuning

  Language:Python10141

• tomfletcher/GeometryOfData

  Language:Jupyter Notebook7307

• jmmanley/two-nn-dimensionality-estimator

  Implementation of TWO-NN method for estimating intrinsic dimension (Facco et al., 2017, Scientific Reports).

  Language:Python6201

• diegodoimo/geometry_icl_finetuning

  Language:Python3120

• Fradenti/GRIDE_repo

  Language:R20