pplcc / ubuntu-tensorflow-pytorch-setup
Setup of TensorFlow and PyTorch on Ubuntu 18.04 -- the easy way!
☆30Updated 4 years ago
Related projects: ⓘ
- Fit your tensorflow model using fastai and PyTorch☆91Updated 4 years ago
- Experiment orchestration☆103Updated 4 years ago
- TF2.0 port for Augmix paper☆79Updated 4 years ago
- A demonstration of the attention mechanism with some toy experiments and explanations.☆105Updated 6 years ago
- A queue service for quickly developing scripts that use all your GPUs efficiently☆81Updated last year
- Visualising the Transformer encoder☆110Updated 3 years ago
- ☆41Updated 3 years ago
- PyTorch Tutorial on google colaboratory.☆75Updated 5 years ago
- Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers☆202Updated 9 months ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆94Updated last week
- A curated list of all Henry AI Labs videos on Deep Learning and AI organized by category!☆96Updated last year
- This is the notebook associated with the blog post:☆90Updated 4 years ago
- Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.☆175Updated 2 years ago
- Generic reinforcement learning codebase in TensorFlow☆95Updated 2 years ago
- A tool to monitor everything you want. Clean, simple, extensible and in one place.☆81Updated 3 years ago
- Adaptation of discriminative learning rates from the Fastai library for standard PyTorch.☆18Updated 4 years ago
- Synthetic book pages created with a PGGAN☆73Updated 5 years ago
- Keras implementation of Deep Learning papers☆94Updated 6 years ago
- My classnotes, experiments, reproducible notebooks from fast.ai Deep Learning Class (v2)☆36Updated 6 years ago
- Materials for the practical sessions at EEML2019☆78Updated 4 years ago
- My "unofficial" winning submission to Lyft's image segmentation challenge - https://www.udacity.com/lyft-challenge☆17Updated 4 years ago
- Provides a systematic and extensible way to build, train, evaluate, and tune deep learning models using PyTorch.☆93Updated 3 months ago
- Next Generation Deep Learning Models☆26Updated 4 years ago
- ML model serving app based on APIs☆71Updated 2 years ago
- Code for training a Resnet model for the Human Protein Atlas Image Classification competition☆50Updated 5 years ago
- ☆160Updated 6 years ago
- My machine learning paper notes☆44Updated 7 years ago
- fastai V2 implementation of Timeseries classification papers.☆239Updated last year
- ☆63Updated 6 years ago
- ☆27Updated 5 years ago