stephennfernandes Goto Github PK
Name: Stephen Fernandes
Type: User
Bio: i like building big models on big datasets, on big computers
Location: Goa , INDIA
Blog: www.stephenfernandes.com
Stephen Fernandes's Projects
100-nlp-papers
100 Must-Read NLP Papers
a-pytorch-tutorial-to-object-detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
adapter-bert
playable code to incorporate Adapter modules in BERT. (for learning purposes)
aerial-image-classification-
A CNN Deep neural Network build for classifying UAV Aerial iamges using Tranasfer learning
anatomyofmatplotlib
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
apertium-kok
Apertium linguistic data for Konkani
ar-cutpaste
Cut and paste your surroundings using AR
art
Exploring the connections between artworks with Cdeep "Visual Analogies"
attention-mechanisms
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
attention_sinks
Extend existing LLMs way beyond the original training length with constant memory usage, without retraining
attentive-translation
pytorch Transformer model with byte-pair encoding
awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
awesome-ai-in-finance
🔬 A curated list of awesome machine learning strategies & tools in financial market.
awesome-algorithmic-trading
A curated list of awesome algorithmic trading frameworks, libraries, software and resources
awesome-aws
A curated list of awesome Amazon Web Services (AWS) libraries, open source repos, guides, blogs, and other resources. Featuring the Fiery Meter of AWSome.
awesome-bert-nlp
A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.
awesome-deep-learning-papers
The most cited deep learning papers
awesome-deep-neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
awesome-diffusion-models
A collection of resources and papers on Diffusion Models and Score-based Models, a darkhorse in the field of Generative Models
awesome-dl-projects
This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
awesome-fastapi
A curated list of awesome things related to FastAPI
awesome-gpt3
Curating the best GPT3 tools and resources
awesome-kaggle-kernels
Compilation of good Kaggle Kernels.
awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
awesome-rl
Reinforcement learning resources curated
awesome-rl-nlp
Curated Reinforcement Learning Resources for Natural Language Processing
awesome-sentence-embedding
A curated list of pretrained sentence and word embedding models
awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
awesome-tensorflow-2
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
awesome-vision-attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
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