Deep Learning, NLP, NMT, AI, ML
work in progress 🚧 A Twitter clone project Table Of Contents About The Project this is an experimental project that I choose to learning more about frontend and backend and how they work together. Built With Django Rest Framework Vue JS Docker Getting Started Assume you’ve installed python, node, docker (optional), redis (for email queue) to run the project. Running locally with docker 🐳 clone the git repository
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Robo Arm :: Rigging is a rigging addon for Blender that helps animating industrial robotic arms.It construct serial links(a kind of robotic arms) from DH parameters using only vanilla features. Meaning, any output of this addon can be used in any environments, without corrupting a save file. The vanilla building blocks include Empty, Constraints, Parenting, Animation Data, and Driver. This addon requires blender API to be v2.80.0 or of any compatible version with v2.80.0. This addon push one entry group […]
Read moreS3transfer is a Python library for managing Amazon S3 transfers. Note This project is not currently GA. If you are planning to use this code in production, make sure to lock to a minor version as interfaces may break from minor version to minor version. For a basic, stable interface of s3transfer, try the interfaces exposed in boto3 GitHub https://github.com/boto/s3transfer
Read morepyodbc is an open source Python module that makes accessing ODBC databases simple. It implements the DB API 2.0 specification but is packed with even more Pythonic convenience. The easiest way to install is to use pip: pip install pyodbc Precompiled binary wheels are provided for most Python versions on Windows and macOS. On other operating systems this will build from source. Note, pyodbc contains C++ extensions so you will need a suitable C++ compiler on your computer to install […]
Read moreconfluent-kafka-python provides a high-level Producer, Consumer and AdminClient compatible with all Apache KafkaTM brokers >= v0.8, Confluent Cloud and the Confluent Platform. The client is: Reliable – It’s a wrapper around librdkafka (provided automatically via binary wheels) which is widely deployed in a diverse set of production scenarios. It’s tested using the same set of system tests as the Java client and more. It’s supported by Confluent. Performant – Performance is a key design consideration. Maximum throughput is on par […]
Read moreInfluxDB-Python is a client for interacting with InfluxDB. Development of this library is maintained by: InfluxDB is an open-source distributed time series database, find more about InfluxDB at https://docs.influxdata.com/influxdb/latest InfluxDB pre v1.1.0 users This module is tested with InfluxDB versions: v1.2.4, v1.3.9, v1.4.3, v1.5.4, v1.6.4, and 1.7.4. Those users still on InfluxDB v0.8.x users may still use the legacy client by importing from influxdb.influxdb08 import InfluxDBClient. Installation Install, upgrade and uninstall influxdb-python with these commands: $ pip install influxdb $ […]
Read morecx_Oracle is a Python extension module that enables access to Oracle Database. It conforms to the Python database API 2.0 specification with a considerable number of additions and a couple of exclusions. See the homepage for a feature list. cx_Oracle 8 has been tested with Python versions 3.6 through 3.9. You can use cx_Oracle with Oracle 11.2, 12c, 18c, 19c and 21c client libraries. Oracle’s standard client-server version interoperability allows connection to both older and newer databases. For example Oracle […]
Read moreThis client provides a client for redis cluster that was added in redis 3.0. This project is a port of redis-rb-cluster by antirez, with a lot of added functionality. The original source can be found at https://github.com/antirez/redis-rb-cluster The branch master will always contain the latest unstable/development code that has been merged from Pull Requests. Use the latest commit from master branch on your own risk, there is no guarantees of compatibility or stability of non tagged commits on the master […]
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Conda installs can be very very very slow. Every time you run conda install: It has to collect the package metadata. It has to solve the environment. … maybe you can take a coffee break here, or go work on a jigsaw puzzle to relax … It has to download packages. Eventually, finally, it will install the packages it downloaded. By the time this is all done you’ve probably forgotten what it was you were trying to do in the […]
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PyTorch-LIT is the Lite Inference Toolkit (LIT) for PyTorch which focuses on easy and fast inference of large models on end-devices. With the rapid growth of deep learning research, models are becoming increasingly complex in terms of parameters and complexity, making it difficult to run the models on currently available end devices. For example, GPT-J with 6B parameters only needs 24 GB of RAM in full-precision mode to be ready for execution, which may be impossible in most systems; even […]
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