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acuity

Simple Automation Project

bechdeltest

Simplified Bechdel Test

cogvlm

a state-of-the-art-level open visual language model | 多模态预训练模型

cs909

dukascopy-npm-docker

eagle

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

efficient-vits-finetuning

Finetuning VITS Efficiently

efficienthtr

EfficientNet-B7 for Offline Handwriting Recognition by Transfer Learning

exllama

A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.

exllamav2

A fast inference library for running LLMs locally on modern consumer-class GPUs

expediahotelranking

generalisedneuralnet

litellm

Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker, HuggingFace, Replicate (100+ LLMs)

llama-cpp-python

Python bindings for llama.cpp

llama.cpp

Port of Facebook's LLaMA model in C/C++

lora

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

mergekit

Tools for merging pretrained large language models.

qlora-fine-tune

rest_prices

retrieval-based-voice-conversion-webui

Voice data <= 10 mins can also be used to train a good VC model!

sglang

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with models faster and more controllable.

spotifyflacdl

Downloads FLAC audio files from public Spotify playlists

styletts

Official Implementation of StyleTTS

styletts-vc

Official Implementation of StyleTTS-VC

tensorrt-llm

TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

tradecopy

Processes NSE EOD data to MetaStock ASCII (7 column) format

trl

Train transformer language models with reinforcement learning.

trt-llm-as-openai

This reference can be used with any existing OpenAI integrated apps to run with TRT-LLM inference locally on GeForce GPU on Windows instead of cloud.

vllm

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

warwickdatasciencewebsite

This is the code for the Website of Warwick Data Science Society