engyasin
Follow
Deep networks
Curiosity-driven Exploration by Self-supervised Prediction
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
PyTorch implementation of GAIL and AIRL based on PPO.
CapsNet implementation applied with different dataset con image classification. CapsNet structure is presented amplified with aggregation methods.
Sparsity-aware deep learning inference runtime for CPUs
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
🦜🔗 Build context-aware reasoning applications
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold N…
[SIGGRAPH Asia 2024, Journal Track] ToonCrafter: Generative Cartoon Interpolation
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
real time face swap and one-click video deepfake with only a single image
Auto_Jobs_Applier_AI_Agent aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in an automated an…
Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key
Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making