Pinned Repositories
accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
advent-of-code
This will be my attempt to continue advent of code every year (consistently!). The code is not gonna be pretty, so don't expect anything magnifigue. :D I will start with python and potentially add some functional programming language in the mix.
anutimetable
Intuitive timetable builder for the Australian National University.
avoid-obstacle-turtlebot
classification-real-fake-text
Classifying real and fake text using metrics measuring human-written and machine-generated text
covid19-analysis
doc-clustering
Clustering documents using k-means algorithm with cosine similarity and tf-idf
learning-sequences
(In development) Applying deep learning architectures to model sequences such as natural language, audio etc towards language modelling and generation.
named-entity-recognizer
A Named Entity Recognizer (NER) application in Java using the CRF++ tool and Conll2002 data sets.
semantic-search
debashishc's Repositories
debashishc/classification-real-fake-text
Classifying real and fake text using metrics measuring human-written and machine-generated text
debashishc/accelerate
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
debashishc/advent-of-code
This will be my attempt to continue advent of code every year (consistently!). The code is not gonna be pretty, so don't expect anything magnifigue. :D I will start with python and potentially add some functional programming language in the mix.
debashishc/covid19-analysis
debashishc/semantic-search
debashishc/blogs
debashishc/CLIP
Contrastive Language-Image Pretraining
debashishc/cohere-notebooks
Code examples and jupyter notebooks for the Cohere Platform
debashishc/course20
Deep Learning for Coders, 2020, the website
debashishc/cses-problem-set
debashishc/debashishc
debashishc/deep-learning-project-template
Pytorch Lightning code guideline for conferences
debashishc/distil-whisper
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
debashishc/espnet
End-to-End Speech Processing Toolkit
debashishc/fastbook
The fastai book, published as Jupyter Notebooks
debashishc/fsdl-text-recognizer-2022
Source of the FSDL 2022 labs, which are at https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022-labs
debashishc/hypothesis
Hypothesis is a powerful, flexible, and easy to use library for property-based testing.
debashishc/lena-voita.github.io
debashishc/masked-language-model-playground
Codebase for playing around with MLMs e.g. BERT, XLNet etc.
debashishc/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
debashishc/nlib
The book "Annotated Algorithms in Python" and the nlib.py library
debashishc/P-tuning-v2
An optimized prompt tuning strategy comparable to fine-tuning across model scales and tasks.
debashishc/pytorch-playground
debashishc/Texygen
A text generation benchmarking platform
debashishc/texygen-analysis
Using Texygen to train and evaluate existing text GANs
debashishc/texygen-mod
debashishc/thisnotthat
A visual labeling system implemented in Jupyter widgets.
debashishc/useful-online-articles
debashishc/vizseq
An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)
debashishc/WhisperCraft
Codebase for efficiency first fine-tuning, evaluation and inference of Whisper