alexshmmy

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

tdmpc

Code for "Temporal Difference Learning for Model Predictive Control"

notion-qa

open-interpreter

A natural language interface for computers

bert_score

BERT score for text generation

llama.cpp

LLM inference in C/C++

mojo

The Mojo Programming Language

nonconformist

Python implementation of the conformal prediction framework.

puncc

👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.

picoGPT

An unnecessarily tiny implementation of GPT-2 in NumPy.

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

ollama

Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

WizardLM

LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

codellama

Inference code for CodeLlama models

sentence-transformers

State-of-the-Art Text Embeddings

langchain

🦜🔗 Build context-aware reasoning applications

llama-cpp-python

Python bindings for llama.cpp

pyllamacpp

Python bindings for llama.cpp

ctransformers

Python bindings for the Transformer models implemented in C/C++ using GGML library.

llama

Inference code for Llama models

llm-engine

Scale LLM Engine public repository

ViLT-GPT

llamav2-chat

This is a simple, interactive chat application powered by Streamlit and the Replicate LlamaV2 model. It uses Streamlit for the front end interface and Replicate's LlamaV2 model for generating responses based on user input.

bike-store-analysis

Analyzing a European bicycle retail business to enhance growth and profitability. Features in-depth EDA, business performance analysis, and strategic insights based on comprehensive sales data.

EasyLM

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

gpt4all

GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.

cornell-cs5785-2024-applied-ml

Lecture materials for Cornell CS5785 Applied Machine Learning (Fall 2024)

PyRoboCOP

PyRoboCOP is a lightweight Python-based package for control and optimization of robotic systems described by nonlinear Differential Algebraic Equations (DAEs)

m1-machine-learning-test

Code for testing various M1 Chip benchmarks with TensorFlow.

pytorch-apple-silicon

Setup PyTorch on Mac/Apple Silicon plus a few benchmarks.