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Source channel @devilsbelow · Post #629 · Mar 9

🌐Weekly News Digest [ March 2 – March 8 ] That was a week when a wider Gulf war sent oil prices jumping, while Central Africa’s mineral struggle spilled into sanctions and landslides. 💡...And here are more key highlights: 🇨🇩 DR Congo — A landslide at the Rubaya mine leaves hundreds of people dead — A third Rubaya-area landslide in 38 days hits Gakombe after heavy rains 🇬🇭 Ghana — Ghana faces joint US-China pressure to drop a 5%-12% gold royalty scale 🇳🇪 Niger — Niger cancels three gold-refinery agreements after repeated alleged contract breaches 🇳🇬 Nigeria — Nigeria signs a $1.3bn alumina refinery pact with AFC — Ogoniland groups say oil restart must wait for cleanup and justice 🇷🇼 Rwanda — The US sanctions Rwanda’s army and four officers over support for M23 🇿🇦 South Africa — South Africa expands illegal-mining raids and lines up military support 🇿🇲 Zambia — Kasumbalesa bridge collapse cuts Congo’s main copper export route to southern ports 🇿🇼 Zimbabwe — A Zimbabwe court jails a Chinese mine supervisor five years over a gold panner’s killing 🌍 Global — Oil prices jump 12% as Gulf escalation triggers fuel-supply fears #NewsDigest ✈️ Stay informed - @devilsbelow

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djangoproject

@djangoproject · Post #274 · 03/18/2017, 01:48 AM

https://github.com/riga/tfdeploy Google's TensorFlow framework is taking off big-time now that it's at a full 1.0 release. One common question about it: How can I make use of the models I train in TensorFlow without using TensorFlow itself? #Tfdeploy is a partial answer to that question. It exports a trained TensorFlow model to "a simple #NumPy-based callable," meaning the model can be used in Python with Tfdeploy and the the NumPy math-and-stats library as the only dependencies. Most of the operations you can perform in TensorFlow can also be performed in Tfdeploy, and you can extend the behaviors of the library by way of standard Python metaphors (such as overloading a class). Now the bad news: Tfdeploy doesn't support GPU acceleration, if only because NumPy doesn't do that. Tfdeploy's creator suggests using the gNumPy project as a possible replacement. #Machine_learning