Pinned Repositories
AGCRN
Adaptive Graph Convolutional Recurrent Network
climetlab-s2s-ai-challenge
climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
conditional_score_diffusion
PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models
crims2s
DDPM-Pytorch
This repo implements Denoising Diffusion Probabilistic Models (DDPM) in Pytorch
deep-mind-educational
Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
Deep-Reinforcement-Learning-with-Python
Deep Reinforcement Learning with Python, Second Edition, published by Packt
deepschool.io
Deep Learning tutorials in jupyter notebooks.
kahchanlow's Repositories
kahchanlow/AGCRN
Adaptive Graph Convolutional Recurrent Network
kahchanlow/climetlab-s2s-ai-challenge
climetlab plugin to access subseasonal to seasonal (S2S) forecasts for the s2s-ai-challenge
kahchanlow/conditional_score_diffusion
PyTorch implementation for Conditional Image Generation with Score-Based Diffusion Models
kahchanlow/crims2s
kahchanlow/DDPM-Pytorch
This repo implements Denoising Diffusion Probabilistic Models (DDPM) in Pytorch
kahchanlow/deep-mind-educational
kahchanlow/Deep-Reinforcement-Learning-Hands-On-Second-Edition
Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt
kahchanlow/Deep-Reinforcement-Learning-with-Python
Deep Reinforcement Learning with Python, Second Edition, published by Packt
kahchanlow/DLWP-CS
Deep learning models for global weather prediction on a cubed sphere
kahchanlow/flink
Apache Flink
kahchanlow/DeepWorks
A collection of Deep Learning projects and resources
kahchanlow/diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
kahchanlow/dinosaur
kahchanlow/dpm-solver
Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)
kahchanlow/edm
Elucidating the Design Space of Diffusion-Based Generative Models (EDM)
kahchanlow/google-research
Google Research
kahchanlow/graphcast
kahchanlow/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
kahchanlow/hudi
Upserts, Deletes And Incremental Processing on Big Data.
kahchanlow/neuralgcm
Hybrid ML + physics model of the Earth's atmosphere
kahchanlow/PyDMD
Python Dynamic Mode Decomposition
kahchanlow/pysindy
A package for the sparse identification of nonlinear dynamical systems from data
kahchanlow/SIMROUTE
SIMROUTE: Weather Ship Routing (WSR) Code. The software is constructed considering available Copernicus Marine Environment Monitoring Service (CMEMS) wave predictions systems of free use.
kahchanlow/STGM
STGM: Spatio-Temporal Graph Mixformer for Traffic Forecasting
kahchanlow/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
kahchanlow/Transformers-for-Natural-Language-Processing
Transformers for Natural Language Processing, published by Packt
kahchanlow/Transformers-for-NLP-2nd-Edition
Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP
kahchanlow/trino-getting-started
kahchanlow/trino-the-definitive-guide
Resource for the book Trino: The Definitive Guide (and formerly Presto: The Definitive Guide)
kahchanlow/uvadlc_notebooks
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023