Lists (13)
Stars
A latent text-to-image diffusion model
Learn how to design, develop, deploy and iterate on production-grade ML applications.
This is a repo with links to everything you'd ever want to learn about data engineering
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
A multi-voice TTS system trained with an emphasis on quality
FinRL®: Financial Reinforcement Learning. 🔥
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)
Collection of notebooks about quantitative finance, with interactive python code.
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Segment Anything in High Quality [NeurIPS 2023]
A collection of scientific methods, processes, algorithms, and systems to build stories & models.
Quantitative research and educational materials
The Open Source Memory Layer For Autonomous Agents
Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.
A Modular Framework for 3D Gaussian Splatting and Beyond
Various ipython notebooks
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
A series of top performing Text to SQL LLMs
Search over large image datasets with natural language and computer vision
This repository lets you train neural networks models for performing end-to-end full-page handwriting recognition using the Apache MXNet deep learning frameworks on the IAM Dataset.
This is a python implementation for stitching images.
Differentiable geometric optics in PyTorch. Design optical systems with optimization.
Data Science Portfolio completed both in the academia and for self-learning.