adityagopalan

adityagopalan's Stars

• dottxt-ai/outlines

  Structured Text Generation

  Language:Python8.4k426

• princeton-nlp/tree-of-thought-llm

  [NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

  Language:Python4.6k434

• HumanSignal/RLHF

  Collection of links, tutorials and best practices of how to collect the data and build end-to-end RLHF system to finetune Generative AI models

  Language:Jupyter Notebook17536

• allenai/reward-bench

  RewardBench: the first evaluation tool for reward models.

  Language:Python37145

• allenai/OLMo

  Modeling, training, eval, and inference code for OLMo

  Language:Python4.5k446

• precog-iiith/LLMWorkshop

  Language:Jupyter Notebook2731

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16k1.6k

• openhwgroup/cva6

  The CORE-V CVA6 is an Application class 6-stage RISC-V CPU capable of booting Linux

  Language:Assembly2.2k675

• riscv-software-src/riscv-isa-sim

  Spike, a RISC-V ISA Simulator

  Language:C2.4k836

• chipsalliance/riscv-dv

  Random instruction generator for RISC-V processor verification

  Language:Python1k322

• brevdev/notebooks

  Collection of notebook guides created by the Brev.dev team!

  Language:Jupyter Notebook1.6k278

• ValueCompass/Alignment-Goal-Survey

  263

• mlabonne/llm-course

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

  Language:Jupyter Notebook37.6k4k

• google-research/circuit_training

  Language:Python951156

• HazyResearch/aisys-building-blocks

  Building blocks for foundation models.

  36213

• EfficientTraining/LabelBench

  Language:Python395

• mrahtz/gym-moving-dot

  A simple moving dot environment for OpenAI Gym to test reinforcement learning algorithms

  Language:Python218

• HumanCompatibleAI/learning-from-human-preferences

  Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"

  Language:Python217

• mrahtz/learning-from-human-preferences

  Reproduction of OpenAI and DeepMind's "Deep Reinforcement Learning from Human Preferences"

  Language:Python30467

• firmai/financial-machine-learning

  A curated list of practical financial machine learning tools and applications.

  Language:Python7k1.2k

• ccanonne/probabilitydistributiontoolbox

  Folklore facts on probability distribution learning, testing, and whatever-ing

  Language:TeX25310

• martyput/MDP_book

  906

• stefan-jansen/machine-learning-for-trading

  Code for Machine Learning for Algorithmic Trading, 2nd edition.

  Language:Jupyter Notebook13k4.1k

• pytorch/botorch

  Bayesian optimization in PyTorch

  Language:Jupyter Notebook3.1k392

• omaclaren/open-learning-material

  Some teaching material and other educational resources

  Language:Jupyter Notebook394

• LAION-AI/Open-Assistant

  OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

  Language:Python37k3.2k

• MilesCranmer/pysr_paper

  A paper describing the implementation of PySR and SymbolicRegression.jl

  Language:TeX4713

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62.1k12.2k

• rmcelreath/stat_rethinking_2023

  Statistical Rethinking Course for Jan-Mar 2023

  Language:R2.2k248

• DAIRLab/Learning-LCS

  A new learning formulation/method to learn/identify a piecewise linear system, also named as linear complementarity system.

  Language:Python74