Shubham Pachori's repositories
anthropic-cookbook
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
awesome-systematic-trading
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
deepdow
Portfolio optimization with deep learning.
dolphinscheduler
Apache DolphinScheduler is the modern data orchestration platform. Agile to create high performance workflow with low-code
DoRA
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
gluonts
Probabilistic time series modeling in Python
gpt4free
The official gpt4free repository | various collection of powerful language models
guardrails
Adding guardrails to large language models.
label-studio
Label Studio is a multi-type data labeling and annotation tool with standardized output format
lectures-CUDA
Material for cuda-mode lectures
lightweight-charts-python
Python framework for TradingView's Lightweight Charts JavaScript library.
LLM4Decompile
Reverse Engineering: Decompiling Binary Code with Large Language Models
llm_training_handbook
An open collection of methodologies to help with successful training of large language models.
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
MetaGPT
🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming
Minusformer
Improving Time Series Forecasting by Progressively Learning Residuals
MoAI
Official PyTorch implementation code for realizing the technical part of Mixture of All Intelligence (MoAI) to improve performance of numerous zero-shot vision language tasks. (Under Review)
neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
presidio
Context aware, pluggable and customizable data protection and de-identification SDK for text and images
Prompt-Engineering-Guide
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
PyPOTS
A Python toolbox/library for reality-centric machine/deep learning and data mining on partially-observed time series with PyTorch, including SOTA neural network models for science tasks of imputation, classification, clustering, and forecasting on incomplete (irregularly-sampled) multivariate time series with NaN missing values/data.
RWKV-TS
RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks
scrapper
Web scraper with a simple REST API living in Docker and using a Headless browser and Readability.js for parsing.
skfolio
Python library for portfolio optimization built on top of scikit-learn
StreamMultiDiffusion
Official code for the paper "StreamMultiDiffusion: Real-Time Interactive Generation with Region-Based Semantic Control."
Time-Series-Library
A Library for Advanced Deep Time Series Models.