mostafasamii

awesomeMLSys

An ML Systems Onboarding list

h4cker

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

awesome-stock-trading

Curated list of resources for traders, such as tools, websites, and books related to trading stocks.

ReDimNet

The official pytorch implemention of the Intespeech 2024 paper "Reshape Dimensions Network for Speaker Recognition"

iTransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

Time-LLM

[ICLR 2024] Official implementation of " 🦙 Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

BARTScore

BARTScore: Evaluating Generated Text as Text Generation

stock-top-papers

Top paper collection for stock price prediction, quantitative trading. Covering top conferences and journals like KDD, WWW, CIKM, AAAI, IJCAI, ACL, EMNLP.

crawlee-python

Crawlee—A web scraping and browser automation library for Python to build reliable crawlers. Extract data for AI, LLMs, RAG, or GPTs. Download HTML, PDF, JPG, PNG, and other files from websites. Works with BeautifulSoup, Playwright, and raw HTTP. Both headful and headless mode. With proxy rotation.

nixtla

TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

gluonts

Probabilistic time series modeling in Python

llm-twin-course

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

ta

Technical Analysis Library using Pandas and Numpy

Awesome-explainable-AI

A collection of research materials on explainable AI/ML

MiniGPT-Med

Open-sourced code of miniGPT-Med

large_language_models_open_suite

LLMSuite - a public toolbox designed to facilitate practice with large language models

alltalk_tts

AllTalk is based on the Coqui TTS engine, similar to the Coqui_tts extension for Text generation webUI, however supports a variety of advanced features, such as a settings page, low VRAM support, DeepSpeed, narrator, model finetuning, custom models, wav file maintenance. It can also be used with 3rd Party software via JSON calls.

Awesome-Multimodal-Large-Language-Models

:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

LLVC

e2-tts-pytorch

Implementation of E2-TTS, "Embarrassingly Easy Fully Non-Autoregressive Zero-Shot TTS", in Pytorch

TTS-arxiv-daily

Automatically Update Text-to-speech (TTS) Papers Daily using Github Actions (Update Every 12th hours)

Applio

VITS-based Voice Conversion focused on simplicity, quality and performance.

fastRAG

Efficient Retrieval Augmentation and Generation Framework

AdalFlow

AdalFlow: The “PyTorch” library to auto-optimize any LLM tasks.

notebooks

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.

neural-speed

An innovative library for efficient LLM inference via low-bit quantization

VASA-1-hack

Using Claude Opus to reverse engineer code from VASA white paper - WIP - (this is for La Raza 🎷)

personal_llm_assistant

RethinkTinyLM

[ICML'24] The official implementation of “Rethinking Optimization and Architecture for Tiny Language Models”

Data-Science-Interview-Preperation-Resources

Resoruce to help you to prepare for your comming data science interviews