csenw
Follow
Stars
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
A curated list of resources for using LLMs to develop more competitive grant applications.
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resista…
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Repository for the HiRID ICU Benchmark (HiB) project
Inline bot for channels and groups
telegram message search bot, optimized for Chinese search.
backtrader2 / backtrader
Forked from mementum/backtraderPython Backtesting library for trading strategies
Python Backtesting library for trading strategies
An advanced crypto trading bot written in Python
A collection of loss functions for medical image segmentation
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)
Trying to create Reinforcement Learning powered Bitcoin trading bot
Code for Implicit Generation and Generalization with Energy Based Models
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Deprecated. For the latest MIMIC-IV code, please refer to: https://github.com/MIT-LCP/mimic-code
The demo of using Kafka, Spark, Hive, Cassandra, etc by using Docker. It produces the production ready environment for any kinds of big data project relates to Hadoop ecosystem
A free tutorial for Apache Spark.
Educational notes,Hands on problems w/ solutions for hadoop ecosystem
Learn and understand Docker&Container technologies, with real DevOps practice!
Quick Tensorflow 2.0 implementation of InfoGAN trained on MNIST.
🚀 Variants of GANs most easily implemented as TensorFlow2. GAN, DCGAN, LSGAN, WGAN, WGAN-GP, DRAGAN, ETC...