hinofafa

langchain

🦜🔗 Build context-aware reasoning applications

llama.cpp

LLM inference in C/C++

gpt-engineer

Specify what you want it to build, the AI asks for clarification, and then builds it. Completely separate team and codebase from the AI Web App builder https://gptengineer.app

LLM101n

LLM101n: Let's build a Storyteller

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

mlx

MLX: An array framework for Apple silicon

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

alpaca.cpp

Locally run an Instruction-Tuned Chat-Style LLM

TypeChat

TypeChat is a library that makes it easy to build natural language interfaces using types.

llama-cpp-python

Python bindings for llama.cpp

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

mlx-examples

Examples in the MLX framework

flyte

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

Catalogue

Machine-Learning-Interviews

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

alphalens

Performance analysis of predictive (alpha) stock factors

direct-preference-optimization

Reference implementation for DPO (Direct Preference Optimization)

LLM-eval-survey

The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".

NaLLM

Repository for the NaLLM project

fredapi

Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)

council

Council is an open-source platform for the rapid development and robust deployment of customized generative AI applications

SuperAdapters

Finetune ALL LLMs with ALL Adapeters on ALL Platforms!

NAS-DIP-pytorch

[ECCV 2020] NAS-DIP: Learning Deep Image Prior with Neural Architecture Search

InvestLM

Referalah

Referalah

Roberta-Llama-Mistral

Comparing the Performance of LLMs: A Deep Dive into Roberta, Llama, and Mistral for Disaster Tweets Analysis with Lora

Comparison-of-Machine-Learning-Prediction-Models

Compared different classification and regreesion models performance in scikit-learn by applying them on 20 datasets from UCL website.

ny-workshop

Takeoff notebook for MLopsWorld workshop

autogpt-hive

Multi-Autonomous LLM agent framework